Moving Object Detection Based on Optical Flow Estimation and a Gaussian Mixture Model for Advanced Driver Assistance Systems.
Jaechan ChoYongchul JungDong-Sun KimSeongjoo LeeYunho JungPublished in: Sensors (2019)
Keyphrases
- gaussian mixture model
- moving object detection
- background subtraction
- optical flow
- flow field
- moving camera
- motion field
- moving objects
- video surveillance
- background model
- mixture model
- image sequences
- expectation maximization
- foreground objects
- motion model
- feature vectors
- maximum likelihood
- motion estimation
- em algorithm
- motion detection
- surveillance system
- motion segmentation
- computer vision
- motion compensation
- motion analysis
- dynamic scenes
- camera motion
- motion parameters
- feature space
- multiple views
- d scene
- bayesian networks
- object tracking
- motion vectors
- probabilistic model
- object recognition
- multiscale